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Abstract
The ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU is a powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for Generative AI and large language model (LLM) inference and training, graphics, and video applications.
This product guide provides essential presales information to understand the NVIDIA L40S GPU and its key features, specifications, and compatibility. This guide is intended for technical specialists, sales specialists, sales engineers, IT architects, and other IT professionals who want to learn more about the NVIDIA L40S GPU and consider its use in IT solutions.
Change History
Changes in the December 26, 2023 update:
- The L40S GPU is now supported in the SE455 V3 - Server support section
- Added the power cable required for the SE455 V3 - Auxiliary power cables section
Introduction
The ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU based on the Ada Lovelace architecture, is a powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for large language model (LLM) inference and training, graphics, and video applications. As the premier platform for multi-modal generative AI, the L40S GPU provides end-to-end acceleration for inference, training, graphics, and video workflows to power the next generation of AI-enabled audio, speech, 2D, video, and 3D applications.
The following figure shows the ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU.
Figure 1. ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU
Did you know?
AI models are exploding in complexity and popularity with the disruption led by large language models (LLMs) such as ChatGPT and generative AI diffusion models. L40S’s fourth-generation Tensor Cores with the Transformer Engine and new FP8 data format enable AI performance that exceeds the NVIDIA A100 Tensor Core GPUs for many AI training and inference workloads.
Part number information
The following table shows the ordering information for the NVIDIA L40S GPU.
Note: The NVIDIA L40S GPU is not available in the following markets: China, Hong Kong, Macau
| Part number | Feature code | Description | Controlled GPU status |
|---|---|---|---|
| 4X67A90669 | BYFH | ThinkSystem NVIDIA L40S 48GB PCIe Gen4 Passive GPU | Controlled |
The NVIDIA L40S GPU is Controlled which means the GPU is not offered in certain markets, as determined by the US Government.
The option part number includes the following:
- One NVIDIA L40S GPU with full-height (3U) adapter bracket attached
- Documentation
Features
Generative AI is fueling transformative change, unlocking a new frontier of opportunities for enterprises across every industry. To transform with AI, enterprises need more compute resources, greater scale, and a broad set of capabilities to meet the demands of an ever-increasing set of diverse and complex workloads.
The NVIDIA L40S GPU is the most powerful universal GPU for the data center, delivering end-to-end acceleration for the next generation of AI-enabled applications—from generative AI and model training and inference to 3D graphics, rendering, and video applications.
Enterprises are looking to use mainstream infrastructure to satisfy their compute needs, but training state-of-the-art models requires massive compute capability. For LLM models, eight L40S’s in mainstream servers bring up to 1.7X the training performance of an NVIDIA HGX™ A100 8-GPU system, giving enterprises fast time to solution with traditional infrastructure. When compared to the A100 80GB SXM for inference, the L40S delivers up to 1.2X more generative AI inference performance using StableDiffusion and up to 1.5X inference performance on popular networks, such as those included within the MLPerf benchmark.
Key use cases of the NVIDIA L40S GPU:
- Generative AI
The AI, graphics, and media acceleration capabilities of the L40S GPU make it the premier platform for multi-modal generative AI pipelines. With powerful inferencing capabilities, combined with NVIDIA RTX™-accelerated ray tracing and dedicated encode and decode engines, the L40S accelerates AI-enabled audio, speech, 2D, video, and 3D generative AI applications.
For image generative AI inference, the L40S GPU delivers more than 5X higher performance than the previous-generation NVIDIA A40 GPU and 1.2X more performance than the HGX A100. This breakthrough performance, combined with 48GB of memory capacity, makes the L40S GPU the ideal generative AI platform for high-quality images and immersive visual content.
- LLM Inference and Training
Accelerate training, fine tuning, and inference workloads with powerful throughput and floating-point performance to build and deploy state-of-the-art AI models. Powerful NVIDIA-Certified Systems™ with eight L40 GPUs can train foundational models with up to 175 billion parameters to convergence and accelerate fine-tuning and retraining of existing large-scale models to adapt them for new tasks.
Combining NVIDIA’s full stack of inference serving software with the compute capabilities of the L40S provides a powerful platform for trained models ready for inference. With support for structural sparsity and a broad range of precisions, including TF32, INT8, and FP8, the L40S delivers over 1 petaFLOPS of inference operation performance, delivering actionable insights with speed and precision.
- AI-Ready Development Platform with NVIDIA AI Enterprise
Enterprise adoption of AI is now mainstream and leading to an increased demand for skilled AI developers and data scientists. Organizations require a flexible, high-performance platform consisting of optimized hardware and software to maximize productivity and accelerate AI development.
NVIDIA AI Enterprise is an end-to-end, enterprise-grade AI software platform that offers 100+ frameworks, pretrained models, and libraries to streamline development and deployment of production AI, including generative AI, computer vision, and speech AI. Optimized and certified for reliable performance, NVIDIA AI Enterprise, together with the L40S, provides a unified platform to develop applications once and deploy anywhere, reducing the risks involved with moving from pilot to production.
- Rendering and 3D Graphics
Running professional 3D visualization applications with NVIDIA L40S enables creative professionals to iterate more, render faster, and unlock tremendous performance advantages that increase productivity and speed up project completion. The NVIDIA L40S's third-generation RT Cores and industry-leading 48GB of GDDR6 memory deliver up to 2X the real-time ray-tracing performance of the previous generation.
With these capabilities, artists and designers can work with complex geometry and high-resolution textures in real time to generate photorealistic designs and power full-fidelity creative workflows, from interactive rendering to virtual production.
- NVIDIA Omniverse
NVIDIA Omniverse is a multi-GPU-enabled open platform for Universal Scene Description (USD)-based collaboration and real-time photorealistic simulation. The full-stack platform based on USD and NVIDIA RTX is the powerful culmination of NVIDIA's core graphics, compute, and AI technologies. NVIDIA L40S GPUs bring powerful AI and RTX capabilities to accelerate 3D content creation and industrial digitalization.
For the most complex Omniverse workloads like extended reality (XR), multi-user design collaboration, and digital twins, the NVIDIA L40S enables ray-traced and path-traced rendering of materials, physically accurate simulations, and generation of photorealistic 3D synthetic data.
- Streaming and Video Content
The NVIDIA L40S takes streaming and video content workloads to the next level, delivering breakthrough media acceleration capabilities with three video encode and three video decode engines. With the addition of AV1 encoding, the L40S delivers up to 2X the performance and improved TCO for broadcast streaming, video production, and transcription workloads.
- Virtual Workstations
When combined with NVIDIA RTX Virtual Workstation (vWS) software, the NVIDIA L40S can be virtualized to deliver high-performance workstation instances to remote users for high-end design, AI, and compute workloads. With 48GB of GPU memory, the NVIDIA L40S with vWS enables flexible, work-from-anywhere solutions for GPU memory-intensive workloads.
Technical specifications
The NVIDIA L40S GPU has the following specifications:
- Form factor
- PCIe Full Height Full Length adapter (4.4-in x 10.5-in), Double-width (dual slot)
- NVIDIA Form Factor 5.5
- Host interface:
- PCIe 4.0 x16
- MSI-X interrupt messaging protocol (MSI not supported)
- PCIe Lane Polarity Inversion and Lane Reversal
- Single Root I/O Virtualization (SR-IOV) support
- 256 virtual functions (VFs)
- ARI Forwarding
- Hardware Root of Trust
- Secure boot
- Secure firmware upgrade
- Firmware rollback protection
- Support for in-band firmware update disable (established after each GPU reset)
- Secure application processor recovery
The following table lists the GPU processing specifications and performance of the NVIDIA L40S GPU.
* With structural sparsity enabled
** To enable the DisplayPort ports, see https://developer.nvidia.com/displaymodeselector
Server support
The following tables list the ThinkSystem servers that are compatible.
Operating system support
The following table lists the supported operating systems.
Tip: These tables are automatically generated based on data from Lenovo ServerProven.
1 Ubuntu 22.04.3 LTS/Ubuntu 22.04.4 LTS
NVIDIA GPU software
This section lists the NVIDIA software that is available from Lenovo.
NVIDIA vGPU Software (vApps, vPC, RTX vWS)
Lenovo offers the following virtualization software for NVIDIA GPUs:
- Virtual Applications (vApps)
For organizations deploying Citrix XenApp, VMware Horizon RDSH or other RDSH solutions. Designed to deliver PC Windows applications at full performance. NVIDIA Virtual Applications allows users to access any Windows application at full performance on any device, anywhere. This edition is suited for users who would like to virtualize applications using XenApp or other RDSH solutions. Windows Server hosted RDSH desktops are also supported by vApps.
- Virtual PC (vPC)
This product is ideal for users who want a virtual desktop but need great user experience leveraging PC Windows® applications, browsers and high-definition video. NVIDIA Virtual PC delivers a native experience to users in a virtual environment, allowing them to run all their PC applications at full performance.
- NVIDIA RTX Virtual Workstation (RTX vWS)
NVIDIA RTX vWS is the only virtual workstation that supports NVIDIA RTX technology, bringing advanced features like ray tracing, AI-denoising, and Deep Learning Super Sampling (DLSS) to a virtual environment. Supporting the latest generation of NVIDIA GPUs unlocks the best performance possible, so designers and engineers can create their best work faster. IT can virtualize any application from the data center with an experience that is indistinguishable from a physical workstation — enabling workstation performance from any device.
The following license types are offered:
- Perpetual license
A non-expiring, permanent software license that can be used on a perpetual basis without the need to renew. For each perpetual license, customers are also required to purchase a 5-year SUMS support contract. Without this contract, the perpetual license cannot be ordered.
- Annual subscription
A software license that is active for a fixed period as defined by the terms of the subscription license, typically yearly. The subscription includes Support, Upgrade and Maintenance (SUMS) for the duration of the license term.
- Concurrent User (CCU)
A method of counting licenses based on active user VMs. If the VM is active and the NVIDIA vGPU software is running, then this counts as one CCU. A vGPU CCU is independent of the connection to the VM.
The following table lists the ordering part numbers and feature codes.
NVIDIA Omniverse Software (OVE)
NVIDIA Omniverse™ Enterprise is an end-to-end collaboration and simulation platform that fundamentally transforms complex design workflows, creating a more harmonious environment for creative teams.
NVIDIA and Lenovo offer a robust, scalable solution for deploying Omniverse Enterprise, accommodating a wide range of professional needs. This document details the critical components, deployment options, and support available, ensuring an efficient and effective Omniverse experience.
Deployment options cater to varying team sizes and workloads. Using Lenovo NVIDIA-Certified Systems™ and Lenovo OVX nodes which are meticulously designed to manage scale and complexity, ensures optimal performance for Omniverse tasks.
Deployment options include:
- Workstations: NVIDIA-Certified Workstations with RTX 6000 Ada GPUs for desktop environments.
- Data Center Solutions: Deployment with Lenovo OVX nodes or NVIDIA-Certified Servers equipped with L40, L40S or A40 GPUs for centralized, high-capacity needs.
NVIDIA Omniverse Enterprise includes the following components and features:
- Platform Components: Kit, Connect, Nucleus, Simulation, RTX Renderer.
- Foundation Applications: USD Composer, USD Presenter.
- Omniverse Extensions: Connect Sample & SDK.
- Integrated Development Environment (IDE)
- Nucleus Configuration: Workstation, Enterprise Nucleus Server (supports up to 8 editors per scene); Self-Service Public Cloud Hosting using Containers.
- Omniverse Farm: Supports batch workloads up to 8 GPUs.
- Enterprise Services: Authentication (SSO/SSL), Navigator Microservice, Large File Transfer, User Accounts SAML/Account Directory.
- User Interface: Workstation & IT Managed Launcher.
- Support: NVIDIA Enterprise Support.
- Deployment Scenarios: Desktop to Data Center: Workstation deployment for building and designing, with options for physical or virtual desktops. For batch tasks, rendering, and SDG workloads that require headless compute, Lenovo OVX nodes are recommended.
The following part numbers are for a subscription license which is active for a fixed period as noted in the description. The license is for a named user which means the license is for named authorized users who may not re-assign or share the license with any other person.
NVIDIA AI Enterprise Software
Lenovo offers the NVIDIA AI Enterprise (NVAIE) cloud-native enterprise software. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere and bare-metal with NVIDIA-Certified Systems™. It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
NVIDIA AI Enterprise is licensed on a per-GPU basis. NVIDIA AI Enterprise products can be purchased as either a perpetual license with support services, or as an annual or multi-year subscription.
- The perpetual license provides the right to use the NVIDIA AI Enterprise software indefinitely, with no expiration. NVIDIA AI Enterprise with perpetual licenses must be purchased in conjunction with one-year, three-year, or five-year support services. A one-year support service is also available for renewals.
- The subscription offerings are an affordable option to allow IT departments to better manage the flexibility of license volumes. NVIDIA AI Enterprise software products with subscription includes support services for the duration of the software’s subscription license
The features of NVIDIA AI Enterprise Software are listed in the following table.
Note: Maximum 10 concurrent VMs per product license
The following table lists the ordering part numbers and feature codes.
Find more information in the NVIDIA AI Enterprise Sizing Guide.
NVIDIA HPC Compiler Software
Auxiliary power cables
The GPU option part number does not ship with auxiliary power cables. Cables are server-specific due to length requirements and the connector on the server end of the cable. For CTO orders, auxiliary power cables are derived by the configurator. For field upgrades, cables will need to be ordered separately as listed in the table below.
Tip: The names of the cable options below may only include the H100 or L40 GPU, however these cables are also supported with the L40S.
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Regulatory approvals
The NVIDIA L40S GPU has the following regulatory approvals:
- RCM
- BSMI
- CE
- FCC
- ICES
- KCC
- cUL, UL
- VCCI
Operating environment
The NVIDIA L40S GPU has the following operating characteristics:
- Ambient temperature
- Operational: 0°C to 50°C (-5°C to 55°C for short term*)
- Storage: -40°C to 75°C
- Relative humidity:
- Operational: 5 to 85% (5 to 93% short term*)
- Storage: 5 to 95%
* A period not more than 96 hours consecutive, not to exceed 15 days per year.
Warranty
One year limited warranty. When installed in a Lenovo server, the GPU assumes the server’s base warranty and any warranty upgrades.
Seller training courses
The following sales training courses are offered for employees and partners (login required). Courses are listed in date order.
-
Partner Technical Webinar - NVIDIA Portfolio
2024-11-06 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVIDIA Portfolioin this 60-minute replay, Jason Knudsen of NVIDIA presented the NVIDIA Computing Platform. Jason talked about the full portfolio from GPUs to Networking to AI Enterprise and NIMs.
Published: 2024-11-06
Length: 60 minutesCourse code: 110124Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
NVIDIA Data Center GPU Portfolio
2024-09-26 | 11 minutes | Employees and Partners
DetailsNVIDIA Data Center GPU PortfolioThis course equips Lenovo and partner technical sellers with the knowledge to effectively communicate the positioning of NVIDIA's data center GPU portfolio, enhancing your ability to showcase its key advantages to clients.
Published: 2024-09-26
Upon completion of this training, you will be familiar with the following:
• Data Center GPUs for AI and HPC
• Data Center GPUs for Graphics
• GPU comparisons
Length: 11 minutesCourse code: DAINVD201Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Q2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick Hit
2024-09-10 | 6 minutes | Employees and Partners
DetailsQ2 Solutions Launch TruScale GPU Next Generation Management in the AI Era Quick HitThis Quick Hit focuses on Lenovo announcing additional ways to help you build, scale, and evolve your customer’s private AI faster for improved ROI with TruScale GPU as a Service, AI-driven systems management, and infrastructure transformation services.
Published: 2024-09-10
Length: 6 minutesCourse code: SXXW2543aStart the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
VTT AI: The NetApp AIPod with Lenovo for NVIDIA OVX
2024-08-13 | 38 minutes | Employees and Partners
DetailsVTT AI: The NetApp AIPod with Lenovo for NVIDIA OVXAI, for some organizations, is out of reach, due to cost, integration complexity, and time to deployment. Previously, organizations relied on frequently retraining their LLMs with the latest data, a costly and time-consuming process. The NetApp AIPod with Lenovo for NVIDIA OVX combines NVIDIA-Certified OVX Lenovo ThinkSystem SR675 V3 servers with validated NetApp storage to create a converged infrastructure specifically designed for AI workloads. Using this solution, customers will be able to conduct AI RAG and inferencing operations for use cases like chatbots, knowledge management, and object recognition.
Published: 2024-08-13
Topics covered in this VTT session include:
• Where Lenovo fits in the solution
• NetApp AIPod with Lenovo for NVIDIA OVX Solution Overview
• Challenges/pain points that this solution solves for enterprises deploying AI
• Solution value/benefits of the combined NetApp, Lenovo, and NVIDIA OVX-Certified Solution
Length: 38 minutesCourse code: DVAI206Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Introduction to Artificial Intelligence
2024-08-02 | 11 minutes | Employees and Partners
DetailsIntroduction to Artificial IntelligenceIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
This NVIDIA course aims to answer questions such as:
• What is AI?
• Why are enterprises so interested in it?
• How does AI happen?
• Why are GPUs so important for it?
• What does a good AI solution look like?
Course Objectives:
By the end of this training, you should be able to:
1. Describe AI on a high level and list a few common enterprise use cases
2. List how enterprises benefit from AI
3. Distinguish between Training and Inference
4. Say how GPUs address known bottlenecks in a typical AI pipeline
5. Tell a customer why NVIDIA’s AI solutions are well-respected in the market
Length: 11 minutesCourse code: DAINVD104r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
GPU Fundamentals
2024-08-02 | 10 minutes | Employees and Partners
DetailsGPU FundamentalsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”,
please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding.
This NVIDIA course introduces you to two devices that a computer typically uses to process information – the CPU and the GPU. We’ll discuss their differences and look at how the GPU overcomes the limitations of the CPU. We will also talk about the value GPUs bring to modern-day enterprise computing.
Course Objectives:
By the end of this training, you should be able to:
1. Distinguish between serial and parallel processing
2. Explain what a GPU is and what it does at a high level
3. Articulate the value of GPU computing for enterprises
4. List three typical GPU-accelerated workloads and a few uses cases
5. Recommend the appropriate NVIDIA GPU for its corresponding enterprise computing workloads
Length: 10 minutesCourse code: DAINVD103r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Key NVIDIA Use Cases for Industry Verticals
2024-08-02 | 32 minutes | Employees and Partners
DetailsKey NVIDIA Use Cases for Industry VerticalsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”,
please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding.
In this NVIDIA course, you will learn about key AI use cases driving innovation and change across Automotive, Financial Services, Energy, Healthcare, Higher Education, Manufacturing, Retail and Telco industries.
Course Objectives:
By the end of this training, you should be able to:
1. Discuss common AI use cases across a broad range of industry verticals
2. Explain how NVIDIA’s AI software stack speeds up time to production for AI projects in multiple industry verticals
Length: 32 minutesCourse code: DAINVD108Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Generative AI Overview
2024-08-02 | 17 minutes | Employees and Partners
DetailsGenerative AI OverviewIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
Since ChatGPTs debut in November of 2022, it has become clear that Generative AI has the potential to revolutionize many aspects of our personal and professional lives. This NVIDIA course aims to answer questions such as:
• What are the Generative AI market trends?
• What is generative AI and how does it work?
Course Objectives:
By the end of this training, you should be able to:
1. Discuss the Generative AI market trends and the challenges in this space with your customers.
2. Explain what Generative AI is and how the technology works to help enterprises to unlock new opportunities for the business.
3. Present a high-level overview of the steps involved in building a Generative AI application.
Length: 17 minutesCourse code: DAINVD106r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Retrieval Augmented Generation
2024-08-02 | 15 minutes | Employees and Partners
DetailsRetrieval Augmented GenerationIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
In this NVIDIA course, Dave Barry, Senior Solutions Architect, talks about a technique known as Retrieval Augmented Generation (RAG). It is a powerful tool for enhancing the accuracy and reliability of Generative AI models with facts fetched from external sources.
This course requires prior knowledge of Generative AI concepts, such as the difference between model training and inference. Please refer to relevant courses within this curriculum.
Course Objectives:
By the end of this training, you should be able to:
1. Explain the limitations of large language models to customers
2. Articulate the value of RAG to enterprises
3. Demo an NVIDIA RAG workflow with a video
4. Drive TCO conversations using an authentic use case
Length: 15 minutesCourse code: DAINVD107Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
AI Industry Use Cases & Solutions
2024-08-02 | 25 minutes | Employees and Partners
DetailsAI Industry Use Cases & SolutionsIMPORTANT: If you receive the following error message:
Published: 2024-08-02
"There is an issue with this slide content. Please contact your administrator”, please change your VPN location setting and try again. We are actively working on fixing this issue. Thank you for your understanding!
This NVIDIA course aims to answer the question:
• How does NVIDIA bring AI solutions to market with and through the partner ecosystem?
Course Objectives:
By the end of this training, you should be able to:
1. Think of solutions in terms of an industry and use case approach
2. Develop solutions that address the industry-specific challenges (with FSI as the illustrative model)
3. Engage customers with their conversations and advance deals with stakeholder’s concerns in mind
4. Replicate NVIDIA’s best practices and ecosystem engagement strategies appropriately
Length: 25 minutesCourse code: DAINVD105r2Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Partner Technical Webinar - NVIDIA Smart Spaces
2024-07-24 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVIDIA Smart SpacesIn this 60-minute replay, Alex Pazos, NVIDIA BDM for Smart Spaces, reviewed the NVIDIA AI for Smart Spaces framework and use cases. Alex reviewed the Metropolus Framework and the Smart Spaces ecosystem. Then he reviewed several use cases including sports stadiums, warehouses, airports, and roadways.
Published: 2024-07-24
Length: 60 minutesCourse code: 071924Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Guidance for Selling NVIDIA Products at Lenovo for ISG
2024-07-01 | 25 minutes | Employees and Partners
DetailsGuidance for Selling NVIDIA Products at Lenovo for ISGThis course gives key talking points about the Lenovo and NVIDIA partnership in the Data Center. Details are included on where to find the products that are included in the partnership and what to do if NVIDIA products are needed that are not included in the partnership. Contact information is included if help is needed in choosing which product is best for your customer. At the end of this session sellers should be able to explain the Lenovo and NVIDIA partnership, describe the products Lenovo can sell through the partnership with NVIDIA, help a customer purchase other NVIDIA product, and get assistance with choosing NVIDIA products to fit customer needs.
Published: 2024-07-01
Length: 25 minutesCourse code: DNVIS102Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Think AI Weekly: Lenovo AI PCs & AI Workstations
2024-05-23 | 60 minutes | Employees Only
DetailsThink AI Weekly: Lenovo AI PCs & AI WorkstationsJoin Mike Leach, Sr. Manager, Workstations Solutions and Pooja Sathe, Director Commercial AI PCs as they discuss why Lenovo AI Developer Workstations and AI PCs are the most powerful, where they fit into the device to cloud ecosystem, and this week’s Microsoft announcement, Copilot+PC
Published: 2024-05-23
Length: 60 minutesCourse code: DTAIW105Start the training:
Employee link: Grow@Lenovo -
VTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AI
2024-05-22 | 60 minutes | Employees Only
DetailsVTT Cloud Architecture: NVIDIA Using Cloud for GPUs and AIJoin JD Dupont, NVIDIA Head of Americas Sales, Lenovo partnership and Veer Mehta, NVIDIA Solution Architect on an interactive discussion about cloud to edge, designing cloud Solutions with NVIDIA GPUs and minimizing private\hybrid cloud OPEX with GPUs. Discover how you can use what is done at big public cloud providers for your customers. We will also walk through use cases and see a demo you can use to help your customers.
Published: 2024-05-22
Length: 60 minutesCourse code: DVCLD212Start the training:
Employee link: Grow@Lenovo -
Partner Technical Webinar - Nvidia Update
2024-05-13 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - Nvidia UpdateIn this 60-minute replay, Veer Mehta, Nvidia Solutions Architect gave an Nvidia AI update for Lenovo. Veer reviewed the highlights from the Nvidia GTC. He also reviewed the Nvidia hardware and software offerings that Lenovo sells.
Published: 2024-05-13
Length: 60 minutesCourse code: 051024Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
Partner Technical Webinar - NVidia
2023-12-11 | 60 minutes | Employees and Partners
DetailsPartner Technical Webinar - NVidiaIn this 60-minute replay, Brad Davidson of Nvidia will help us recognize AI Trends, and Discuss Industry Verticals Marketing.
Published: 2023-12-11
Length: 60 minutesCourse code: 120823Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning -
NVIDIA L40S GPU Overview and Business Use Case
2023-10-12 | 60 minutes | Employees Only
DetailsNVIDIA L40S GPU Overview and Business Use CaseWelcome to the NVIDIA L40S GPU Overview and Business Use Case course. This course offers a closer look at the L40S GPU, featuring a webinar presented by Brad Davidson from NVIDIA. Throughout this course, we delve deep into the L40S GPU's capabilities, provide situational use cases, guide you on effectively positioning the L40S in various scenarios, and facilitate a meaningful comparison between the L40S and DGX systems.
Published: 2023-10-12
Completing this course will enable you to:
• Describe the basics of NVIDIA L40S
• Discuss how NVIDIA L40S delivers level performance for AI
• Discuss generative AI and omniverse
Length: 60 minutesCourse code: DAINVD102Start the training:
Employee link: Grow@Lenovo
1-10 of 17 courses.
Related publications
For more information, refer to these documents:
- ThinkSystem and ThinkAgile GPU Summary:
https://lenovopress.lenovo.com/lp0768-thinksystem-thinkagile-gpu-summary - ServerProven compatibility:
http://www.lenovo.com/us/en/serverproven - Lenovo Reference Architecture for Generative AI Based on Large Language Models (LLMs)
https://lenovopress.lenovo.com/lp1798-reference-architecture-for-generative-ai-based-on-large-language-models - NVIDIA L40S product page:
https://www.nvidia.com/en-us/data-center/l40s/
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Lenovo and the Lenovo logo are trademarks or registered trademarks of Lenovo in the United States, other countries, or both. A current list of Lenovo trademarks is available on the Web at https://www.lenovo.com/us/en/legal/copytrade/.
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Full Change History
Changes in the December 26, 2023 update:
- The L40S GPU is now supported in the SE455 V3 - Server support section
- Added the power cable required for the SE455 V3 - Auxiliary power cables section
Changes in the September 15, 2023 update:
- Added the Controlled status column to Table 1 - Part number information section
Changes in the May 24, 2024 update:
- Added a note that the DisplayPort ports are disabled by default - Technical specifications section
Changes in the December 15, 2023 update:
- The L40S is now supported in the SR665 V3 and SR650 V3 - Server support section
- Updated auxiliary power cable information - Auxiliary power cables section
Changes in the November 3, 2023 update:
- Added OS support information - Operating system support section
First published: September 12, 2023
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